In this role you will design and scale intelligent data platforms that enable multi-agent AI collaboration to solve analytical and mathematical tasks. You will oversee the integration of LLMs, symbolic solvers, and data pipelines into production systems, balancing performance, cost, and governance. You’ll lead engineering work, mentor teammates, and translate business problems into AI-driven solutions for aviation operations. This is a chance to shape AI-enabled data platforms that improve efficiency and collaboration across the air transport ecosystem.Flex Week: work from home up to 2 days/weekFlex DayFlex-Location: up to 30 days/year remote workEmployee Wellbeing: EAP for you and dependents 24/7LinkedIn Learning and professional developmentDesign and scale intelligent data platforms with multi-agent collaborationBuild multi-agent architectures for planning, memory, tool usage and coordinationCreate orchestration layers with guardrails for robustness, traceability,



and observability of agent decisionsIntegrate mathematical engines and external tools into LLM-driven workflowsDevelop scalable batch and real-time data pipelines and data models supporting agent memory and retrieval (vector databases/RAG)Establish LLMOps/MLOps practices for deployment, monitoring, evaluation and testing (including mathematical correctness)Optimize performance and cost of LLM and compute-heavy workloads; drive CI/CD and operational excellenceProvide technical leadership: set best practices, mentor engineers, translate business problems into AI-driven solutions6+ years in data engineering and/or distributed systems with hands-on delivery of production platformsStrong Python and SQL skills; experience with data models, data quality controls and observabilityExperience with distributed data processing and streaming (e.g., Spark, Kafka) and cloud platforms (AWS, Azure, or GCP)Experience building LLM-based systems; familiarity with agent frameworks (orchestration, tool usage, memory) and RAG/

📌 Data Scientist (Barcelona)
🏢 Sita - Société Internationale De Télécommunications
📍 Barcelona